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Parallel computation framework for Java

Java framework that supports a style of parallel programming
in which problems are solved by (recursively) splitting them
into subtasks that are solved in parallel, waiting for them
to complete, and then composing results.

Fork/Join parallelism is among the simplest and most
effective design techniques for obtaining good parallel
performance. Fork/Join algorithms are parallel versions
of familiar divide-and-conquer algorithms.

JSR166y includes a parallel computation framework:
ForkJoinTasks and their related support classes provide a
very efficient basis for obtaining platform-independent
parallel speed-ups of computation-intensive operations.